• DocumentCode
    481046
  • Title

    On implementing Chordal ring structures using Genetic Algorithm and Simulated Annealing

  • Author

    Riaz, M. Tahir ; Nielsen, Rasmus Hjorth ; Gutierrez, Jose ; Pedersen, Jens Myrup ; Madsen, Ole Brun

  • Author_Institution
    Center for Network Planning, Aalborg Univ., Aalborg
  • Volume
    2
  • fYear
    2008
  • fDate
    10-12 Sept. 2008
  • Firstpage
    593
  • Lastpage
    596
  • Abstract
    The paper presents an implementation analysis of Chordal ring structures using two modern heuristics namely Simulated Annealing and Genetic Algorithm. In recent years Chordal rings gained a lot of interest for physical topology of the next generation large-scale network infrastructure. Degree 3 Chordal ring structures possess small diameters, low average distances and easy routing schemes. For the implementation a case study of North Jutland has been considered as a test subject. When comparing the performance among the two employed heuristics, in our case, simulated annealing algorithm performs much better in an approximately equal run time. But if the run time is little more allowed then genetic algorithms tends to performs better.
  • Keywords
    genetic algorithms; simulated annealing; telecommunication network planning; telecommunication network routing; telecommunication network topology; North Jutland; chordal ring structures; genetic algorithm; next generation large-scale network infrastructure; physical topology; simulated annealing; Algorithm design and analysis; Analytical models; Electronic mail; Genetic algorithms; Large-scale systems; Network topology; Next generation networking; Quality of service; Routing; Simulated annealing; Chordal Rings; Genetic Algorithm; Network Topology & Network Planning; Nework Planning; Next Generation Networks; Simulated Annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ELMAR, 2008. 50th International Symposium
  • Conference_Location
    Zadar
  • ISSN
    1334-2630
  • Print_ISBN
    978-1-4244-3364-3
  • Type

    conf

  • Filename
    4747573